Enhancing least square channel estimation using deep learning
Least square (LS) channel estimation employed in various communications systems suffers
from performance degradation especially in low signal-to-noise ratio (SNR) regions. This is …
from performance degradation especially in low signal-to-noise ratio (SNR) regions. This is …
NB-IoT system for M2M communication
R Ratasuk, B Vejlgaard… - 2016 IEEE wireless …, 2016 - ieeexplore.ieee.org
In 3GPP, a narrowband system based on Long Term Evolution (LTE) is being introduced to
support the Internet of Things. This system, named Narrowband Internet of Things (NB-IoT) …
support the Internet of Things. This system, named Narrowband Internet of Things (NB-IoT) …
Deep Learning-Based Robust Channel Estimation for MIMO IoT Systems
JM Kang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
When the second-order statistics of channel and noise, such as their covariance matrices,
are not exactly known, the acquisition of accurate channel state information (CSI) for a …
are not exactly known, the acquisition of accurate channel state information (CSI) for a …
From LENA to LENA-NB: Implementation and Performance Evaluation of NB-IoT and Early Data Transmission in ns-3
With the growing Internet of Things, more small devices require internet connections. To
address the scaling number of Internet of Things devices, Narrowband Internet of Things is …
address the scaling number of Internet of Things devices, Narrowband Internet of Things is …
[HTML][HTML] Machine learning-based 5G-and-beyond channel estimation for MIMO-OFDM communication systems
Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …
addition, deep learning has demonstrated significant improvements in enhancing the …
DCT-based channel estimation techniques for LTE uplink
M Zhou, B Jiang, T Li, W Zhong… - 2009 IEEE 20th …, 2009 - ieeexplore.ieee.org
We investigate channel estimation for long term evolution (LTE) uplink over frequency-
selective fading multiple-input multiple-output (MIMO) channels. As the conventional DFT …
selective fading multiple-input multiple-output (MIMO) channels. As the conventional DFT …
Measurement-based experimental statistical modeling of propagation channel in industrial IoT scenario
Y Wang, Y Lv, X Yin, J Duan - Radio Science, 2020 - ieeexplore.ieee.org
This paper presents 3–4 and 38–40 GHz wideband channel characteristics for industrial
internet-of-things (IIoT) scenario based on measurements. The channel measurement …
internet-of-things (IIoT) scenario based on measurements. The channel measurement …
Bi‐directional LSTM based channel estimation in 5G massive MIMO OFDM systems over TDL‐C model with Rayleigh fading distribution
R Shankar - International Journal of Communication Systems, 2023 - Wiley Online Library
In this work, a deep learning (DL)‐based massive multiple‐input multiple‐output (mMIMO)
orthogonal frequency division multiplexing (OFDM) system is investigated over the tapped …
orthogonal frequency division multiplexing (OFDM) system is investigated over the tapped …
LMMSE-based channel estimation for LTE-advanced MIMO downlink employing UE-specific reference signals
CY Hsieh, DW Lin, C Ma - 2015 IEEE 81st Vehicular …, 2015 - ieeexplore.ieee.org
The LTE-Advanced wireless communication standard specifies UE-specific reference
signals (short-named DM-RS) to facilitate multi-input multi-output (MIMO) downlink channel …
signals (short-named DM-RS) to facilitate multi-input multi-output (MIMO) downlink channel …